web-server-logs / README.md
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metadata
license: cc-by-nc-4.0
task_categories:
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - nginx
  - access-logs
  - synthetic-data
  - observability
  - http
  - apache
  - log-analysis
  - mindweave
  - web-server
  - server-logs
  - monitoring
  - test-data
  - api-logs
  - siem
  - anomaly-detection
  - devops
pretty_name: Web Server Access Logs (Synthetic) (Free Sample)
size_categories:
  - 1K<n<10K
configs:
  - config_name: access_logs
    data_files: data/access_logs.csv
    default: true
  - config_name: servers
    data_files: data/servers.csv

Web Server Access Logs (Synthetic) (Free Sample)

This is a free sample with 5,003 rows. The full dataset has 50,048 rows across 2 tables.

Realistic HTTP access logs from a simulated SaaS company running an e-commerce API and marketing website. 50,000 requests across 3 servers over 12 months.

Includes realistic patterns: weekday/weekend traffic variation, peak hours, seasonal trends, bot traffic, and two injected anomalies (DDoS attempt and database outage) for anomaly detection training.

Each log entry includes: timestamp, server, HTTP method, path, status code, response time, bytes sent, user agent, IP address, and referrer.

Ideal for: DevOps monitoring dashboards, log analysis pipelines, anomaly detection ML models, SIEM testing, and observability tool development.

Sample tables

Table Sample Rows
access_logs 5,000
servers 3
Total 5,003

Full dataset

The complete dataset includes all tables with full row counts:

Table Full Rows
access_logs 50,045
servers 3
Total 50,048

Formats included: CSV, Parquet, SQLite

Get the full dataset on Gumroad

About

Generated by Mindweave Technologies -- realistic synthetic datasets for developers, QA teams, and data engineers.

Every dataset features:

  • Enforced foreign key relationships across all tables
  • Realistic statistical distributions (not uniform random)
  • Temporal patterns (seasonal, time-of-day, day-of-week)
  • Injected anomalies for ML training and anomaly detection
  • Deterministic generation (same seed = same output)

Browse all datasets: https://mindweavetech.gumroad.com